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» An empirical assessment of adaptation techniques
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CSDA
2007
106views more  CSDA 2007»
13 years 7 months ago
Parsimonious additive models
A new method for function estimation and variable selection, specifically designed for additive models fitted by cubic splines is proposed.This new method involves regularizing ...
Marta Avalos, Yves Grandvalet, Christophe Ambroise
CORR
2000
Springer
84views Education» more  CORR 2000»
13 years 7 months ago
Robust Classification for Imprecise Environments
In real-world environments it usually is difficult to specify target operating conditions precisely, for example, target misclassification costs. This uncertainty makes building ro...
Foster J. Provost, Tom Fawcett
RC
2000
99views more  RC 2000»
13 years 7 months ago
Interval Constraint Plotting for Interactive Visual Exploration of Implicitly Defined Relations
Conventional plotting programs adopt techniques such as adaptive sampling to approximate, but not to guarantee, correctness and completeness in graphing functions. Moreover, implic...
Timothy J. Hickey, Zhe Qju, Maarten H. van Emden
ESOP
2011
Springer
12 years 11 months ago
A New Method for Dependent Parsing
Abstract. Dependent grammars extend context-free grammars by allowing semantic values to be bound to variables and used to constrain parsing. Dependent grammars can cleanly specify...
Trevor Jim, Yitzhak Mandelbaum
SDM
2011
SIAM
233views Data Mining» more  SDM 2011»
12 years 10 months ago
Multi-Instance Mixture Models
Multi-instance (MI) learning is a variant of supervised learning where labeled examples consist of bags (i.e. multi-sets) of feature vectors instead of just a single feature vecto...
James R. Foulds, Padhraic Smyth